In the field of computer science, machine learning (ML) and artificial intelligence (AI) are frequently used interchangeably; however, they are not synonymous. Although both require computers to perform tasks that typically require human intelligence, there are distinct differences between the two.
What is Machine Learning?
Machine learning is a subset of AI that involves teaching computers to learn from data without being explicitly programmed. This can involve supervised learning, where the computer is given labeled data and learns to predict future outcomes based on patterns it detects, or unsupervised learning, where the computer is given unlabeled data and must find its own patterns.
What is Artificial Intelligence?
Artificial intelligence, on the other hand, refers to any technology that enables a machine to perform tasks that would normally require human intelligence. This can include things like natural language processing, computer vision, and robotics. While ML is certainly a part of AI, it is just one aspect of it.
Conclusion
In conclusion, while machine learning and artificial intelligence are related fields, they are not the same thing. Machine learning involves teaching computers to learn from data without being explicitly programmed, while artificial intelligence refers to any technology that enables a machine to perform tasks that would normally require human intelligence.
